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Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2.5 KiB
2.5 KiB
In [1]:
from langchain.chains import LLMCheckerChain
from langchain.llms import OpenAI
llm = OpenAI(temperature=0.7)
text = "What type of mammal lays the biggest eggs?"
checker_chain = LLMCheckerChain(llm=llm, verbose=True)
checker_chain.run(text)Out [1]:
[1m> Entering new LLMCheckerChain chain...[0m
[1m> Entering new SequentialChain chain...[0m
[1mChain 0[0m:
{'statement': '\nNone. Mammals do not lay eggs.'}
[1mChain 1[0m:
{'assertions': '\n• Mammals reproduce using live birth\n• Mammals do not lay eggs\n• Animals that lay eggs are not mammals'}
[1mChain 2[0m:
{'checked_assertions': '\n1. True\n\n2. True\n\n3. False - Mammals are a class of animals that includes animals that lay eggs, such as monotremes (platypus and echidna).'}
[1mChain 3[0m:
{'revised_statement': ' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'}
[1m> Finished SequentialChain chain.[0m
[1m> Finished LLMCheckerChain chain.[0m
' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'
In [ ]: